easics provides free tool to evaluate the performance of your AI application on its nearbAITM semiconductor IP

embedded AI close to your sensors

nearbAI is easics’ trademarked product for embedded neural network inference using digital hardware, applied close to your sensors. Its prime application is pattern matching in the supervised learning paradigm. nearbAI consists of two parts: a configurable semiconductor IP core that gets instantiated on your custom ASIC or on an FPGA, and software tools to configure your IP core. It is offered in a licensing model. You can contact us for a free nearbAI Estimator tool license to evaluate the performance of your AI application on the nearbAI IP.

high performance, low power, low cost – your choice

nearbAI targets embedded pattern matching applications close to the sensors, where at least one of the following plays a pivotal role: ultra-low and non-variable inference latency for real-time reaction speeds, ultra-low power consumption for battery-powered operation, lowest hardware component cost for high-volume applications. These applications include novel ultra-low latency AR and VR glasses, battery-powered healthcare wearables, human-in-the-loop medical diagnosis equipment, smart product scanners for retail applications, self-navigating drones, collision-avoidance in vehicles, sophisticated in-line quality inspection in industry 4.0 and earth observation in satellites. Targeted sensors include various types of image sensors, MEMS-microphones, and any novel sensors.

nearbAI Estimator view

evaluate and finetune your application using nearbAI software

The starting point in the nearbAI design flow is a trained neural network model. You can create that using your preferred machine learning framework such as PyTorch, TensorFlow or Keras. The nearbAI Estimator tool reads in your trained model as an ONNX file. Besides that trained model, you input your desired hardware configuration and constraints in the Estimator tool. The latter reflects aspects of your use case such as targeted hardware cost (silicon area), inference speed and latency, and power consumption. The nearbAI Estimator tool shows the latency for each layer of the neural network and highlights any hardware bottlenecks. This allows you to interactively finetune the constraints, evaluate the resulting performance, and arrive at the optimal configuration for your use case, without having to build hardware or run endless simulations. 

nearbAI design flow overview

generate your proprietary nearbAI core

Next, you use the nearbAI Core Generator tool to generate your proprietary nearbAI semiconductor IP core. You further use the nearbAI Network Compiler to generate the microsequence that will sit in memory next to the IP core to run your neural network. Doing ASIC and FPGA design services as well, easics is ready to assist you in integrating nearbAI on your chip.

optimize your return-on-investment.  from any FPGA implementation to your ASIC instantiation.

nearbAI supports efficient hardware mapping on your custom ASIC as well as on Xilinx and Intel FPGAs. Evaluation boards using FPGA or FPGA System-on-Module (SoM) are available, and support plug-in of your ASIC test-chip. The same nearbAI core can run several neural networks using different microsequences. This way, a nearbAI-based product supports field upgrades as well as on-the-fly hot switching between neural networks in a running application. The fine-grained configuration options further allow you to generate several flavors of a nearbAI IP core, such as a low performance and a high performance version. This enables the efficient roll out of a product family. All in all, nearbAI future proofs and optimizes the ROI of your embedded AI developments.

we’ll be back

From 5 till 7 October, easics participated in VISION, the world’s leading trade fair for machine vision in Stuttgart. easics gave live nearbAI demos, and presented it in a talk at the Industrial VISION days, organized by VDMA Machine Vision. On 14 October, easics presented nearbAI at the Bits&Chips Event at the Evoluon in Eindhoven. Upcoming opportunities to meet up and see live demos are the IP-SoC conference in Grenoble on 1 and 2 December 2021, and Embedded World in Nuremberg from 15 till 17 March 2022.

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Contact

Contact easics for more information and for a free nearbAI evaluation license to try it out yourself: info@easics.be

https://www.easics.com/deep-learning-fpga/
https://www.easics.com/deep-learning-asic/

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S3Food: microbreweries benefit from data-driven fermentation management

In The S3Food project Flying Couch Brewery in Denmark has the opportunity to start a project together with Zymoscope. Various beer fermentation processes will be conducted in order to collect sufficient amount of data, to improve accuracy and reproducibility while ensuring scalability of the solution.

The goal of the project is to finalize the development of a data-driven fermentation management solution i.e. non-invasive Internet of Things solution to monitor and control fermentation in the beer industry.

9 out of 10 microbreweries in Europe do not have access to the right tools to monitor and control fermentation. If any, the breweries end up using analogue solutions, which require time-consuming manual sampling and include weak data flows. A lack of appropriate quality control results in low and inconsistent product quality, production inefficiencies and large amounts of beer and CO2 spillage.

In Europe there are over 11,000 microbreweries, which means such a solution is very welcome in the industry. Fermentation processing in microbreweries, is of high complexity due to the involvement of various raw materials, different yeast strains, numerous quality parameters, biased factors, and interventions throughout.

This project has received a validation voucher of S3Food: this voucher includes financial support for “the validation of a digital solution in a relevant environment related to a selected challenge of the food sector”.

Go to the S3Food website

S3Food: Smart sensors will reduce food waste in bread production

A new breakthrough in the S3Food project. Food waste is a gigantic and increasing problem in the developed countries and requires immediate action as this constitutes a massive loss of resources throughout the food production value chain. This project aims at constructing, testing and optimizing a pilot process line to receive, handle and process bread waste. The technology enables the bread sector to reduce food waste by 50 % by 2030 and partly fulfilling UN’s sustainability goal # 12.3

The goal of this project is to integrate real time sensor technology in an automated process that separates bread waste, such as day-old bread and packed bread into homogeneous categories. By combining data from sensors with known product recipes, the composition of a finished bread waste product can be optimized, which after drying and grinding will become ingredients in new sustainable foods such as granola, bread crackers, muesli bars, pasta, bread chips etc.

Read more at the S3Food page

S3Food is the pan European project for digital Industry 4.0 transition in which DSP Valley takes part as one of the 13 international consortium partners.

S3Food: Portable real time scanner for contamination in milk production

Funded project within S3Food: Next Generation Sensors B.V. and CIED B.V.in the Netherlands aim to develop a portable real time scanner for contamination in food production, called “The Revolutionary Real Time AgroFood Contaminant Screener”.

S3Food is the pan European project for digital Industry 4.0 transition in which DSP Valley takes part as one of the 13 international consortium partners. It funds this great project that will develop the portable real time scanner for contamination in milk production. The second-largest food type in the agri-food testing market is the dairy industry, which is why the project will start with that industry as the launching market. After the product launch meat and fruit/vegetable companies – and food/feed companies in general – will follow rapidly after that.

An unprecedented portable contaminant screener will be delivered in this Lab-to-Sample. The development of Minimum Viable Product (MVP) allows the partners to rapidly commercialise their joint innovation. The proposed screener’s underlying technologies are:

– an unparalleled portable mass spectrometer
– a novel rapid sampling probe
– a novel blockchain ledger
– and machine learning algorithms

These algorithms are resulting in a revolutionary real-time dairy contaminant screener. Accurate, real-time contamination detection at the source would:

1) prevent contamination extension because of milk pooling. This is significantly reducing food waste.
2) reduce analysis costs and
3) drastically reduce the need for costly food recalls

Next Generation Sensors B.V. + CIED B.V. are also collaborating with The Maastricht MultiModal Molecular Imaging Institute (M4I).

easics switches into next gear and extends management with new CEO

easics, a Leuven-based market leader in the embedded systems digital design, switches into its next gear as a company. Next to providing unique competence and development platforms that lead to first-time right, reliable and optimized logic and software that is maintainable by the customer, easics starts providing network and Artificial Intelligence (AI) product/IP solutions for system developers of health and industrial products. easics nearbAI technology provides a  compact, low-power and affordable AI core that runs complex neural networks on FPGAs and ASICs at the edge, close to the sensors. This results in a low and predictable latency and runs with ultra low-power consumption. easics’ embedded AI solutions integrate tightly with novel and existing sensors such as image sensors capturing light inside and outside the visible spectrum (such as hyperspectral and thermal infrared), 3D scanning laser (LiDAR), Time-of-Flight (ToF) sensors, radar, microscopy, ultrasound sensors, and microphones, and thus enable many novel businesses.

To enable this growth ambition Emiliano D’Agostino joined the MT as managing director & CEO of easics as of April 2021. He is an executive with hands-on experience in the medtech industry. Before joining easics, he has founded DoseVue, a medtech company which he has brought from incorporation up to commercial product launch. He received a PhD in electrical engineering, focused on medical image processing, from the KU Leuven in 2006. He holds master degrees in physics engineering from the Université Libre de Bruxelles and in nuclear engineering from the Politecnico di Milano.

“I am really looking forward to helping easics moving to the next phase by expanding easics’ product related activities, in particular in the medical sector. The company has a tremendous potential and is already a trusted partner for several big international players in the medical and industrial fields.”, says Emiliano. Rector-emeritus of the KU Leuven, Prof. Oosterlinck, and since its foundation 30 years ago Chairman of the Board of easics, welcomes Emiliano: “Emiliano is an international manager with very good knowledge of the health and industrial business, and an excellent alumnus of the medical imaging research group of the KU Leuven, that I started more than 45 years ago. I am sure that he will bring easics to the next level.” “We welcome Emiliano to the MT of easics and look forward to growing the company further with him,” say Ramses Valvekens and Steven Coenen, the managers and main stakeholders of easics.


Visit easics at their website and follow them via their social media channels:

S3Food hands out 14 grants to projects for digital innovation in food manufacturing

DSP Valley is glad to announce that 28 SMEs will receive funding from S3FOOD, the pan European project for digital Industry 4.0 transition in which we take part as one of the 13 international consortium partners. 14 projects have been selected with themes like ‘data-driven fermentation management’, ‘egg processing with enhanced data integration’ or  ‘smart systems for real-time monitoring of evaporation in wine aging’.

14 cross-sectoral collaboration projects

This has already been the second S3FOOD voucher call within the project. 14 innovative SME driven projects have been selected all across Europe. The winning projects will receive funding to develop and adopt innovative digital solutions to concrete challenges food processing companies are facing to modernize and improve food production.

Alltogether, the 14 cross–sectoral collaboration projects will receive different types of vouchers for an amount close to 1.3 million Euros. The types of vouchers vary depending on the development stage of the project, called the TRL, or Technology Readiness Level. The earliest stage projects receive up to 15,000 Euro while the larger scale collaboration projects  receive up to 180,000 Euro.

Industry 4.0 transition

S3FOOD wants to establish an innovation-friendly, cross-border and cross-sectoral ecosystem to help SMEs start their Industry 4.0 transition.

Veerle De Graef, Innovation Manager, Flanders’ FOOD– coordinator of the S3FOOD project: “Companies that still rely on a few in-house specialists to register and interpret processing data are at risk of losing important knowledge and expertise. Using for instance smart sensors, makes it possible to secure everything in automated systems and to bring sustainable benefits to their business, improving efficiency and quality of the production methods.”

Besides the funding, being a part of S3FOOD also grants the 14 projects access to industry experts, knowledge sharing, a solid network of like-minded SMEs and much more.

A revolution in progress

Many larger companies have already responded to the fourth industrial revolution – the digital revolution -, by automating and digitalizing their process. This includes benefiting from the related data generation, which opens the door to identify processing issues quicker. This also gives opportunities for continuous improvement.

S3FOOD targets the many SMEs in the agri-food industry in Europe, that have still not found the partners and funds to start the same journey towards digitalization.

The consortium has already supported 44 projects with 51 unique SMEs across Europe and now adds 14 new projects to the portfolio.

“While we are still in the middle of the S3FOOD project, we can already begin to see the results of the first projects that received the funding vouchers. It’s fascinating to see how SMEs can truly benefit from the latest technology, and we are happy to be able to welcome another 14 projects to S3FOOD, and to the future of food production,” says project leader Veerle De Graef.

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S3FOOD is a 5 million Euro Innosup – 01 project under H2020 that aims to stimulate the uptake of smart sensor solutions by the small and medium sized enterprises in the agri-food sector with the purpose of improving efficiency, sustainability and safety. S3FOOD started in May 2019 and has launched two voucher calls where SMEs could apply for funding for the implementation of innovative digital solutions to concrete challenges of the food processing industry.

The S3FOOD consortium consists of 13 partners from across Europe:
Flanders’ FOOD, Belgium; DSP Valley, Belgium; Wagralim, Belgium; INNOSKART, Hungary; AgriFood Capital BV, The Netherlands; AIN, Spain; ASINCAR, Spain; Bretagne Développement Innovation, France; CLUSAGA, Spain; CORALLIA , Greece; Food & Bio Cluster Denmark, Denmark; Food-Processing Initiative, Germany and CIMES, France.

Read more about S3FOOD on www.s3food.eu  or follow the project on LinkedIn and twitter: @s3food_eu

S3FOOD has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 824769-S3FOOD.

Sfella, the Smart Flush solution, is ready to enter the Legionella prevention market

In the Netherlands, 300 to 400 people are infected per year with the legionella bacteria (Legionnaires’ disease or Pontiac fever), a number that is rising each year. Victims of the bacteria suffer for a long period, from several months up to more than a year. Between 5 and 10% of cases are lethal.

Legionella infections mostly occur through people breathing in legionella-contaminated aerosols. Aerosols are small droplets of water that are generated, for example, when showering. For this reason, public showers like the ones in sports centres, swimming halls, and saunas, as well as truck stops and camp sites, need to be flushed regularly to prevent legionella growing in the water pipes. The required flushing is often done manually or semi-automated, which is very time consuming, prone to human errors, and labor intensive. Especially when one takes into account the legal obligations to report data like date, time, water temperature, and flush duration per shower.

The risk of legionella contamination has increased in the current Covid-19 crisis with the (temporary) closure of facilities. Showers are not used by clients and facility engineers who have to stay home and are not allowed to come to their facilities for the requisite flushing.

Sfella is the Smart Flush solution by Mioto* that addresses all of the above issues. Sfella is a user-friendly, reliable and easy-to-install solution for legionella prevention. The system is modular, for use within environments with multiple showers. It assures flushing the shower(s) happens after an operator-defined time period. The system reports the important flush data like date, time, duration, and water temperature. This reporting and control of the showers happens locally or remote via a dedicated gateway.

Sfella is powered by the mesh network MyriaNed. It is an infrastructure of nodes that connect directly, dynamically, and non-hierarchically. This allows easy configuration and scalability. Data transfer to and from the shower units (represented by a node) is wireless and bi-directional. Therefore, settings can be changed remotely, while the report with flush-related data can be received remotely in your email inbox. MyriaNed can be configured to use either 868MHz or 2.4GHz. This allows for the optimal fit in each local environment in terms of coverage and energy usage.

In February 2020, just before the first Covid-19 wave struck the Netherlands, van Mierlo Ingenieursbureau B.V. started a pilot program with Sfella on 15 showers in a care institute. The unforeseen Covid-19 crisis forced the care institute to close its sports facilities for several months, a perfect period to test the installed Sfella system. It appears the automatic flushing happened every 72 hours as programmed. Once the facilities opened again in early summer, final confirmation arrived: examinations of the water samples taken showed no legionella contamination in the related water pipes. This offered the most convincing evidence that Sfella delivered.

van Mierlo Ingenieursbureau is now to actively approaching the Dutch market and discussing with sales and distribution partners, as well as technology partners, to broaden the Sfella roadmap. If you are interested in partnering for sales and distribution, including outside the Netherlands, please contact us.

A video about Sfella is available at our website.

For further information, please reach out to info@vanmierlo.com

* Mioto is a brand of van Mierlo Ingenieursbureau B.V. in Eindhoven the Netherlands

Fulco Verheul

Responsible for marketing, sales, business development, product management and product development activities at van Mierlo Ingenieursbureau B.V.

Smart Sensors 4 Agri-Food Kicks Off

On February 21, the members of the Thematic Smart Specialization Partnership Smart Sensors 4 Agri-Food met at CTIC in the Gijón Technology Park in Spain. The main topic on the agenda was agreement on the partnership’s governance structure and its working plan for the near future. Additionally, the members elected the partnership’s chairs.

Connecting competences, facilitating digital transformation

18 clusters and research partners from 14 European regions set themselves the twin goals of boosting the digital transformation of the agri-food sector and facilitating access to applicable solutions for industry. By connecting competences across Europe, the partners as well as their members and stakeholders will gain a better understanding of agri-food´s opportunities, challenges, and requirements with relation to digital technologies.

The partnership has identified four core challenges that it will address initially:

  • Match the needs of agri-food companies with the solutions and capabilities of the technology and digital solution providers, building a “trust zone” between the involved sectors.
  • Roll out a step-by-step approach to digital transformation by creating cross-border innovation communities and providing funding opportunities.
  • Develop and demonstrate the integration of digital technologies in production lines with specific requirements for robust solutions.
  • Adopt and establish vocational and professional training programs for companies and their employees.

Two European projects up and running

The meeting was held adjacent to a program of study visits and matchmaking events, organized within the two European projects originating from the partnership: “Smart Sensor Systems for Food Safety, Quality Control and Resource Efficiency in the Food Processing Industry‘ (S3FOOD) and “Connecting smart sensor systems for the food industry‘ (Connsensys). S3FOOD provides support to SMEs and a dedicated funding scheme for developing and implementing technologies and digital solutions in the food processing industry. Connsensys focuses on the role and potential of living labs in the innovation ecosystem for the sector’s digital transformation. As such, the Connsensys project is paving the way for a network of living labs that will form a cornerstone in the SS4AF strategy.

“It will be a long way, but based on the established relations to our companies and the focus on applicable solutions, we will generate real added-value for our companies and regions with our partnership,” stated Simon Maas, AgriFood Capital BV (The Netherlands) after he was elected to be the first chair of Smart Sensors 4 Agri-food. Cécile Guyon from Bretagne Dévelopement Innovation (France), and newly-elected vice-chair added, “Connecting competences across European regions is an important key to successfully support SMEs and to facilitate their digital transformation processes. This is why I am happy to be part of this unique partnership.” DSP Valley’s own Bjorn van de Vondel is the newly-chosen chair of the Technology Intelligence working group. Flanders’ FOOD (Belgium) will host the Brussels-based head office of the partnership.

Stay connected

If you want to stay updated about SS4AF, send an e-mail to Veerle Rijkaert (Flanders Food) to receive all the latest news on the partnership and its projects.

Deltaray Launches Disruptive Tech

Less than a year ago, Deltaray officially came on the scene as a new company. They’re already turning heads and disrupting conversations with their unique technology: 3D Xray equipment for 100% inspection of mission-critical mechanical parts.

Quality control woes

Industry needs quality control. It ensures customers receive defect-free products that meet their needs. This we all know. We also know that the current system isn’t perfect. Incomplete or incorrect inspections put users at risk and lead to recalls, which are, of course, are a nightmare for companies. The damage to the company’s reputation, the hassle, the expense.

Inspecting products thoroughly reduces the chances of recalls and also ensures that a company’s products function as they should every time, all the time. Current inspection technology, using CT scanning, cannot yet scan thoroughly and fast enough to do more than random sample checks. Employees can only visually check a product, and often can only do so for a few seconds before needing to move on to the next specimen.

A scanned image demonstrating how Deltaray’s technology works

A unique solution

This is where Deltaray comes in. In cooperation with the University of Antwerp, they’ve developed accelerated 3D x-ray technology that can inspect every individual unit both inside and out, comparing each component to engineering files using AI.

How do they do it? Image-based 3D x-ray scanning enables real time inspection in-line or near-line. at 50 to 100 µm resolution. Form-fit inspections use the CAD file as quality master, making use of AI-enabled inspection to perform fully automated defect detection. The data-driven analysis and resulting reporting is Quality 4.0 compliant.

The exciting technology behind Deltaray’s turnkey inspection solutions offers plenty of possibilities for critical part manufacturers in the automotive, additive manufacturing, critical assemblies, and medical devices industries.

Find out more

Deltaray’s official launch takes place in two weeks. You can meet them and find out more for yourself at the free entry Virtual Industry Fair on June 10. They’ll be one of the keynote speakers at the event.

Interested companies can attend a private open house on 16 and 17 June, where they’ll get a glimpse of the first demo system and be able to interact with the Deltaray team. You can visit their website to get your personal invitation.